Objective To explore the effectiveness of the OKR method in improving the efficiency of the whole process of critical value management,and to provide new ideas for the implementation of medical quality improvement in other medical insti-tutions.Methods A hospital in Tianjin was selected as the study object,which used the OKR method to reform the management of critical value since January 2024.The core goal of"improving the effectiveness of critical value management"was set,and the goal was broken down into quantitative key results such as"the rate of receiving the critical value system is over 95％"and"the rate of completing the standardised writing of medical records is up to 85％".Results After the reform,several quantitative key results,such as the completion rate of critical care medical record writing,the rate of standardised medical record writing,and the rate of overtime acceptance,were all better than before.Conclusion Through the OKR method to unify the whole hospital's strategic objectives,and the dynamic adjustment of the program based on data review,the hospital's critical value management efficiency has been significantly improved,effectively guaranteeing the safety of patients,and providing new perspectives and methods for the management of critical value in other medical institutions.

Objective To explore the characteristics and evolution of disability prevention policies for the elderly by quantitative analysis and text-mining analysis of disability prevention policy texts for the elderly in China from 1988 to 2024,so as to provide a basis for improving disability prevention policies for the elderly in China.Methods CiteSpace 6.3.R1 and Rost CM6 software were used for bibliometric and text-mining analyses of policy texts related to the elderly disability prevention in China,such as policy quantity,issuing agencies,formats,and thematic changes.Results A total of 111 policy texts were analyzed,with only 5.4%(6/111)specifically focusing on elderly disability prevention.Policy development had 3 stages:1988-2005,an initial construction phase for the rehabilitation and prevention system,primarily focused on the establishment of fundamental systems for disability rehabilitation and basic institutional development,such as community security;2006-2015,a goal-oriented phase enhancing disability prevention and social security,particularly targeting fall prevention,chronic disease control,and subsidies for the elderly with disabilities;and 2016-2024,a phase of refined disability prevention strategies and integration with elderly health services,where the focus has increasingly shifted to precise prevention measures and the alignment of disability prevention with elderly health service systems.Conclusion China's disability prevention policy system and the policy system related to aging health have gradually formed,but the 2 have not been effectively integrated.While universal policies offer public awareness benefits,the lack of pertinent policies limits elderly disability prevention outcomes.It is necessary to introduce more pertinent elderly disability prevention policies.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Objective To investigate the effects of periodontitis induced by Prevotella nigrescens(Pn)combined with ligation on cognitive functions in mice.Methods Twenty-four C57BL/6J mice were randomly divided into control group,ligation group,and ligation+Pn treatment(P+Pn)group.Experimental periodontitis was induced by silk ligation of the first molars followed by topical application of Pn for 6 weeks.After modeling,alveolar bone resorption was assessed using micro-CT and histological analysis.Learning and memory abilities of the mice were evaluated using open field test(OFT),novel object recognition test(NORT),and Morris water maze test(MWM).Seven weeks after the start of modeling,the mice were sacrificed for examining histopathological changes in the hippocampus using HE and Nissl staining.Results After 6 weeks of molar ligation,micro-CT revealed horizontal alveolar bone resorption and furcation exposure in the mice,and histological analysis showed apical migration of the junctional epithelium,epithelial ridge hyperplasia,and lymphocyte infiltration,and these changes were obviously worsened in P+Pn group.Alveolar bone height decreased significantly in both ligation groups compared to the control group.Cognitive tests showed that the mice in both of the ligation groups traveled shorter distances in OFT,showed reduced novel object preference in NORT,and exhibited longer escape latencies in MWM,and the mice in P+Pn group had significantly poorer performances in the tests.Histologically,obvious neuronal cytoplasmic degeneration,necrosis,nuclear pyknosis,vacuolation,and reduced Nissl bodies and viable neurons were observed in the hippocampal regions of the mice in the two ligation groups.Conclusion Pn infection aggravates alveolar bone destruction,accelerates necrosis and causes morphological abnormalities of neuronal cells in the hippocampus to reduce cognitive functions of mice with periodontitis.

OBJECTIVES: To investigate the effects of periodontitis induced by Prevotella nigrescens (Pn) combined with ligation on cognitive functions in mice. METHODS: Twenty-four C57BL/6J mice were randomly divided into control group, ligation group, and ligation + Pn treatment (P+Pn) group. Experimental periodontitis was induced by silk ligation of the first molars followed by topical application of Pn for 6 weeks. After modeling, alveolar bone resorption was assessed using micro-CT and histological analysis. Learning and memory abilities of the mice were evaluated using open field test (OFT), novel object recognition test (NORT), and Morris water maze test (MWM). Seven weeks after the start of modeling, the mice were sacrificed for examining histopathological changes in the hippocampus using HE and Nissl staining. RESULTS: After 6 weeks of molar ligation, micro-CT revealed horizontal alveolar bone resorption and furcation exposure in the mice, and histological analysis showed apical migration of the junctional epithelium, epithelial ridge hyperplasia, and lymphocyte infiltration, and these changes were obviously worsened in P+Pn group. Alveolar bone height decreased significantly in both ligation groups compared to the control group. Cognitive tests showed that the mice in both of the ligation groups traveled shorter distances in OFT, showed reduced novel object preference in NORT, and exhibited longer escape latencies in MWM, and the mice in P+Pn group had significantly poorer performances in the tests. Histologically, obvious neuronal cytoplasmic degeneration, necrosis, nuclear pyknosis, vacuolation, and reduced Nissl bodies and viable neurons were observed in the hippocampal regions of the mice in the two ligation groups. CONCLUSIONS Pn infection aggravates alveolar bone destruction, accelerates necrosis and causes morphological abnormalities of neuronal cells in the hippocampus to reduce cognitive functions of mice with periodontitis.
Animals ; Periodontitis/microbiology* ; Mice ; Mice, Inbred C57BL ; Cognition ; Alveolar Bone Loss ; Hippocampus/pathology* ; Male ; Inflammation ; Maze Learning

BACKGROUND: Senescent human skin primary fibroblast (FB) models have been established for studying aging-related, proliferative, and inflammatory skin diseases. The aim of this study was to compare the transcriptome characteristics of human primary dermal FBs from children and the elderly with four senescence models. METHODS: Human skin primary FBs were obtained from healthy children (FB-C) and elderly donors (FB-E). Senescence models were generated by ultraviolet B irradiation (FB-UVB), D-galactose stimulation (FB-D-gal), atazanavir treatment (FB-ATV), and replication exhaustion induction (FB-P30). Flow cytometry, immunofluorescence staining, real-time quantitative polymerase chain reaction, co-culturing with immune cells, and bulk RNA sequencing were used for systematic comparisons of the models. RESULTS: In comparison with FB-C, FB-E showed elevated expression of senescence-related genes related to the skin barrier and extracellular matrix, proinflammatory factors, chemokines, oxidative stress, and complement factors. In comparison with FB-E, FB-UVB and FB-ATV showed higher levels of senescence and expression of the genes related to the senescence-associated secretory phenotype (SASP), and their shaped immune microenvironment highly facilitated the activation of downstream immune cells, including T cells, macrophages, and natural killer cells. FB-P30 was most similar to FB-E in terms of general transcriptome features, such as FB migration and proliferation, and aging-related characteristics. FB-D-gal showed the lowest expression levels of senescence-related genes. In comparisons with the single-cell RNA sequencing results, FB-E showed almost complete simulation of the transcriptional spectrum of FBs in elderly patients with atopic dermatitis, followed by FB-P30 and FB-UVB. FB-E and FB-P30 showed higher similarity with the FBs in keloids. CONCLUSIONS Each senescent FB model exhibited different characteristics. In addition to showing upregulated expression of natural senescence features, FB-UVB and FB-ATV showed high expression levels of senescence-related genes, including those involved in the SASP, and FB-P30 showed the greatest similarity with FB-E. However, D-galactose-stimulated FBs did not clearly present aging characteristics.
Humans ; Fibroblasts/drug effects* ; Cellular Senescence/physiology* ; Skin/metabolism* ; Child ; Transcriptome/genetics* ; Aged ; Ultraviolet Rays ; Cells, Cultured ; Galactose/pharmacology*

Objective:To investigate the protective effect and its mechanism of proscillaridin A (PSD-A) on podocyte injury in lupus nephritis (LN).Methods:Molecular docking and surface plasmon resonance techniques were used to analyze the binding status of PSD-A to signal transducer and activator of transcription 1 (STAT1). The immortalized human podocyte injury model in the lupus group was induced by the serum of systemic lupus erythematosus patients, and the control and PSD-A intervention (2 nmol/L, 4 nmol/L) groups were also set up. Six female 12-week-old C57BL/6 mice were designated as the control group, and 12 female 12-week-old MRL/lpr lupus mice were randomly divided into lupus group and PSD-A intervention group by random number table method. The PSD-A intervention group was intraperitoneally injected with 5 mg/kg PSD-A, once per week for 6 consecutive weeks. While the control group and the lupus group were intraperitoneally injected with the same volume of the solvent without PSD-A. Western blotting and real-time quantitative PCR were employed to detect the relative protein and mRNA expression levels of podocin, STAT1, and interferon-induced protein with tetratricopeptide repeat 1 (IFIT1) in podocytes of each group. Enzyme-linked immunosorbent assay was used to detect the levels of serum anti-double strand DNA antibody and interferon-α in mice. Coomassie brilliant blue was used to detect the urinary protein level. HE, PAS, Masson and PASM staining and transmission electron microscopy were used to observe the pathological changes of renal tissues. Immunohistochemistry was used to examine the protein expression of podocin, STAT1 and IFIT1 in renal tissues.Results:Molecular docking and surface plasmon resonance techniques proved that PSD-A could bind to STAT1 protein and they exhibited a robust binding affinity. The podocyte experiments showed that, compared with the lupus group, the relative expression levels of podocin protein and mRNA in the PSD-A intervention group were upregulated, while the relative expression levels of STAT1 and IFIT1 protein and mRNA were downregulated (all P<0.05). The animal experiments showed that, compared with the lupus group, the serum levels of anti-double strand DNA antibody, interferon-α, and urinary protein in PSD-A intervention group were decreased, the pathological damage of renal tissues was alleviated, and the injury of renal podocytes was reduced. Immunohistochemical staining showed that the relative protein expression levels of STAT1 and IFIT1 of renal tissues in the PSD-A intervention group were lower than those in the lupus group (all P<0.05). Conclusion:PSD-A can play a protective role in podocyte injury in LN, and its mechanism may be related to the inhibition of the STAT1 signaling pathway.

Objective To explore the effectiveness of the OKR method in improving the efficiency of the whole process of critical value management,and to provide new ideas for the implementation of medical quality improvement in other medical insti-tutions.Methods A hospital in Tianjin was selected as the study object,which used the OKR method to reform the management of critical value since January 2024.The core goal of"improving the effectiveness of critical value management"was set,and the goal was broken down into quantitative key results such as"the rate of receiving the critical value system is over 95％"and"the rate of completing the standardised writing of medical records is up to 85％".Results After the reform,several quantitative key results,such as the completion rate of critical care medical record writing,the rate of standardised medical record writing,and the rate of overtime acceptance,were all better than before.Conclusion Through the OKR method to unify the whole hospital's strategic objectives,and the dynamic adjustment of the program based on data review,the hospital's critical value management efficiency has been significantly improved,effectively guaranteeing the safety of patients,and providing new perspectives and methods for the management of critical value in other medical institutions.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Objective:To investigate the protective effect and its mechanism of proscillaridin A (PSD-A) on podocyte injury in lupus nephritis (LN).Methods:Molecular docking and surface plasmon resonance techniques were used to analyze the binding status of PSD-A to signal transducer and activator of transcription 1 (STAT1). The immortalized human podocyte injury model in the lupus group was induced by the serum of systemic lupus erythematosus patients, and the control and PSD-A intervention (2 nmol/L, 4 nmol/L) groups were also set up. Six female 12-week-old C57BL/6 mice were designated as the control group, and 12 female 12-week-old MRL/lpr lupus mice were randomly divided into lupus group and PSD-A intervention group by random number table method. The PSD-A intervention group was intraperitoneally injected with 5 mg/kg PSD-A, once per week for 6 consecutive weeks. While the control group and the lupus group were intraperitoneally injected with the same volume of the solvent without PSD-A. Western blotting and real-time quantitative PCR were employed to detect the relative protein and mRNA expression levels of podocin, STAT1, and interferon-induced protein with tetratricopeptide repeat 1 (IFIT1) in podocytes of each group. Enzyme-linked immunosorbent assay was used to detect the levels of serum anti-double strand DNA antibody and interferon-α in mice. Coomassie brilliant blue was used to detect the urinary protein level. HE, PAS, Masson and PASM staining and transmission electron microscopy were used to observe the pathological changes of renal tissues. Immunohistochemistry was used to examine the protein expression of podocin, STAT1 and IFIT1 in renal tissues.Results:Molecular docking and surface plasmon resonance techniques proved that PSD-A could bind to STAT1 protein and they exhibited a robust binding affinity. The podocyte experiments showed that, compared with the lupus group, the relative expression levels of podocin protein and mRNA in the PSD-A intervention group were upregulated, while the relative expression levels of STAT1 and IFIT1 protein and mRNA were downregulated (all P<0.05). The animal experiments showed that, compared with the lupus group, the serum levels of anti-double strand DNA antibody, interferon-α, and urinary protein in PSD-A intervention group were decreased, the pathological damage of renal tissues was alleviated, and the injury of renal podocytes was reduced. Immunohistochemical staining showed that the relative protein expression levels of STAT1 and IFIT1 of renal tissues in the PSD-A intervention group were lower than those in the lupus group (all P<0.05). Conclusion:PSD-A can play a protective role in podocyte injury in LN, and its mechanism may be related to the inhibition of the STAT1 signaling pathway.